What do we need to build explainable AI systems for the medical domain?

28 December 2017

Papers citing "What do we need to build explainable AI systems for the medical domain?"

50 / 141 papers shown

Title
Explainable Intrusion Detection Systems (X-IDS): A Survey of Current Methods, Challenges, and Opportunities Subash Neupane Jesse Ables William Anderson Sudip Mittal Shahram Rahimi I. Banicescu Maria Seale AAML 25 71 0 13 Jul 2022
A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data Magdalena Wysocka Oskar Wysocki Marie Zufferey Dónal Landers André Freitas AI4CE 40 28 0 02 Jul 2022
Improving Disease Classification Performance and Explainability of Deep Learning Models in Radiology with Heatmap Generators A. Watanabe Sara Ketabi Khashayar Namdar Namdar Farzad Khalvati 14 8 0 28 Jun 2022
Interpretable Models Capable of Handling Systematic Missingness in Imbalanced Classes and Heterogeneous Datasets Sreejita Ghosh E. Baranowski Michael Biehl W. Arlt Peter Tiño the United Kingdom Utrecht University 10 6 0 04 Jun 2022
What You See is What You Classify: Black Box Attributions Steven Stalder Nathanael Perraudin R. Achanta F. Pérez-Cruz Michele Volpi FAtt 24 9 0 23 May 2022
TRUST XAI: Model-Agnostic Explanations for AI With a Case Study on IIoT Security Maede Zolanvari Zebo Yang K. Khan Rajkumar Jain N. Meskin 17 73 0 02 May 2022
Exploring How Anomalous Model Input and Output Alerts Affect Decision-Making in Healthcare Marissa Radensky Dustin Burson Rajya Bhaiya Daniel S. Weld 11 0 0 27 Apr 2022
Explainable Machine Learning for Predicting Homicide Clearance in the United States G. Campedelli 8 13 0 09 Mar 2022
Bayesian Bilinear Neural Network for Predicting the Mid-price Dynamics in Limit-Order Book Markets M. Magris M. Shabani Alexandros Iosifidis 15 9 0 07 Mar 2022
Deep Learning, Natural Language Processing, and Explainable Artificial Intelligence in the Biomedical Domain M. Moradi Matthias Samwald 33 7 0 25 Feb 2022
Training Characteristic Functions with Reinforcement Learning: XAI-methods play Connect Four S. Wäldchen Felix Huber S. Pokutta FAtt 23 8 0 23 Feb 2022
A comprehensive survey on computational learning methods for analysis of gene expression data Nikita Bhandari Rahee Walambe K. Kotecha Satyajeet P. Khare 15 18 0 07 Feb 2022
A Complete Characterisation of ReLU-Invariant Distributions Jan Macdonald S. Wäldchen 10 1 0 13 Dec 2021
On Two XAI Cultures: A Case Study of Non-technical Explanations in Deployed AI System Helen Jiang Erwen Senge 22 7 0 02 Dec 2021
DataWords: Getting Contrarian with Text, Structured Data and Explanations S. I. Gallant Mirza Nasir Hossain 11 0 0 09 Nov 2021
IAC: A Framework for Enabling Patient Agency in the Use of AI-Enabled Healthcare Chinasa T. Okolo Michelle González Amador 8 0 0 29 Oct 2021
Requirement analysis for an artificial intelligence model for the diagnosis of the COVID-19 from chest X-ray data T. Kalliokoski 11 0 0 24 Oct 2021
Explaining Deep Reinforcement Learning Agents In The Atari Domain through a Surrogate Model Alexander Sieusahai Matthew J. Guzdial 19 13 0 07 Oct 2021
Explainability Pitfalls: Beyond Dark Patterns in Explainable AI Upol Ehsan Mark O. Riedl XAI SILM 49 57 0 26 Sep 2021
Adaptive Explainable Continual Learning Framework for Regression Problems with Focus on Power Forecasts Yujiang He AI4TS CLL 6 2 0 24 Aug 2021
Voxel-level Importance Maps for Interpretable Brain Age Estimation Kyriaki-Margarita Bintsi V. Baltatzis A. Hammers Daniel Rueckert 13 12 0 11 Aug 2021
The Who in XAI: How AI Background Shapes Perceptions of AI Explanations Upol Ehsan Samir Passi Q. V. Liao Larry Chan I-Hsiang Lee Michael J. Muller Mark O. Riedl 27 83 0 28 Jul 2021
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions Eike Petersen Yannik Potdevin Esfandiar Mohammadi Stephan Zidowitz Sabrina Breyer ... Sandra Henn Ludwig Pechmann M. Leucker P. Rostalski Christian Herzog FaML AILaw OOD 14 21 0 20 Jul 2021
Inverse Contextual Bandits: Learning How Behavior Evolves over Time Alihan Huyuk Daniel Jarrett M. Schaar CML OffRL 14 11 0 13 Jul 2021
Improving a neural network model by explanation-guided training for glioma classification based on MRI data Frantisek Sefcik Wanda Benesova 8 12 0 05 Jul 2021
Productivity, Portability, Performance: Data-Centric Python Yiheng Wang Yao Zhang Yanzhang Wang Yan Wan Jiao Wang Zhongyuan Wu Yuhao Yang Bowen She 40 95 0 01 Jul 2021
Semantic Reasoning from Model-Agnostic Explanations Timen Stepisnik Perdih Nada Lavrac Blaž Škrlj LRM 17 4 0 29 Jun 2021
On Locality of Local Explanation Models Sahra Ghalebikesabi Lucile Ter-Minassian Karla Diaz-Ordaz Chris Holmes FedML FAtt 8 38 0 24 Jun 2021
Interpretable Machine Learning Classifiers for Brain Tumour Survival Prediction C. Charlton M. Poon P. Brennan Jacques D. Fleuriot 9 0 0 17 Jun 2021
Explainable AI, but explainable to whom? Julie Gerlings Millie Søndergaard Jensen Arisa Shollo 16 43 0 10 Jun 2021
Towards Explainable Abnormal Infant Movements Identification: A Body-part Based Prediction and Visualisation Framework Kevin D. McCay Edmond S. L. Ho Dimitrios Sakkos Wai Lok Woo Claire Marcroft P. Dulson N. Embleton 14 8 0 09 Jun 2021
Explainable Multi-class Classification of the CAMH COVID-19 Mental Health Data Yuanzheng Hu Marina Sokolova 11 7 0 27 May 2021
Explaining Ridesharing: Selection of Explanations for Increasing User Satisfaction D. Zar Noam Hazon A. Azaria FAtt 15 3 0 26 May 2021
Agree to Disagree: When Deep Learning Models With Identical Architectures Produce Distinct Explanations Matthew Watson Bashar Awwad Shiekh Hasan Noura Al Moubayed OOD 9 22 0 14 May 2021
Explainable Artificial Intelligence for Human Decision-Support System in Medical Domain Samanta Knapic A. Malhi Rohit Saluja Kary Främling 8 99 0 05 May 2021
Robust Semantic Interpretability: Revisiting Concept Activation Vectors J. Pfau A. Young Jerome Wei Maria L. Wei Michael J. Keiser FAtt 23 14 0 06 Apr 2021
Distributed Banach-Picard Iteration for Locally Contractive Maps Francisco Andrade Mário A. T. Figueiredo J. Xavier 33 2 0 31 Mar 2021
Put Chatbot into Its Interlocutor's Shoes: New Framework to Learn Chatbot Responding with Intention Hsuan Su Jiun-hao Jhan Fan-Yun Sun Saurav Sahay Hung-yi Lee 13 5 0 30 Mar 2021
Volume-Centred Range Bars: Novel Interpretable Representation of Financial Markets Designed for Machine Learning Applications A. Sokolovsky Luca Arnaboldi J. Bacardit T. Gross AIFin AI4TS 17 0 0 23 Mar 2021
Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications Yu-Liang Chou Catarina Moreira P. Bruza Chun Ouyang Joaquim A. Jorge CML 29 175 0 07 Mar 2021
Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond Guang Yang Qinghao Ye Jun Xia 90 479 0 03 Feb 2021
Uncertainty aware and explainable diagnosis of retinal disease Amitojdeep Singh S. Sengupta M. Rasheed Varadharajan Jayakumar Vasudevan Lakshminarayanan BDL 20 21 0 26 Jan 2021
Machine-Generated Hierarchical Structure of Human Activities to Reveal How Machines Think Mahsun Altin Furkan Gursoy Lina Xu HAI AI4CE 22 2 0 19 Jan 2021
Deep Attention-based Representation Learning for Heart Sound Classification Zhao Ren Kun Qian Fengquan Dong Zhenyu Dai Yoshiharu Yamamoto Björn W. Schuller 17 2 0 13 Jan 2021
Convolutional Neural Networks in Multi-Class Classification of Medical Data Yuanzheng Hu Marina Sokolova 9 1 0 28 Dec 2020
Explainable Multi-class Classification of Medical Data Yuanzheng Hu Marina Sokolova 14 4 0 26 Dec 2020
GANterfactual - Counterfactual Explanations for Medical Non-Experts using Generative Adversarial Learning Silvan Mertes Tobias Huber Katharina Weitz Alexander Heimerl Elisabeth André GAN AAML MedIm 18 68 0 22 Dec 2020
Combining Similarity and Adversarial Learning to Generate Visual Explanation: Application to Medical Image Classification Martin Charachon C´eline Hudelot P. Cournède Camille Ruppli R. Ardon AAML GAN FAtt MedIm 6 7 0 14 Dec 2020
Checklist for responsible deep learning modeling of medical images based on COVID-19 detection studies Weronika Hryniewska Przemysław Bombiński P. Szatkowski Paulina Tomaszewska A. Przelaskowski P. Biecek OOD 21 47 0 11 Dec 2020
The Three Ghosts of Medical AI: Can the Black-Box Present Deliver? Thomas P. Quinn Stephan Jacobs M. Senadeera Vuong Le S. Coghlan 17 112 0 10 Dec 2020